Overview

Dataset statistics

Number of variables8
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory68.3 B

Variable types

Numeric2
Text5
Categorical1

Dataset

Description연번,장기요양기관기호,기관명,기관전화번호,FAX번호,설립구분,지정일자,기관주소
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-11623/S/1/datasetView.do

Alerts

설립구분 has constant value ""Constant
연번 is highly overall correlated with 지정일자High correlation
지정일자 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
장기요양기관기호 has unique valuesUnique
기관명 has unique valuesUnique
기관주소 has unique valuesUnique

Reproduction

Analysis started2024-04-06 10:45:35.419246
Analysis finished2024-04-06 10:45:38.238478
Duration2.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-04-06T19:45:38.409686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2024-04-06T19:45:38.709073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

장기요양기관기호
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-06T19:45:39.144572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters754
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row3-11305-00014
2nd row3-11305-00022
3rd row3-11305-00026
4th row3-11305-00028
5th row3-11305-00032
ValueCountFrequency (%)
3-11305-00014 1
 
1.7%
3-11305-00311 1
 
1.7%
3-11305-00337 1
 
1.7%
3-11305-00254 1
 
1.7%
3-11305-00263 1
 
1.7%
3-11305-00283 1
 
1.7%
3-11305-00284 1
 
1.7%
3-11305-00285 1
 
1.7%
3-11305-00287 1
 
1.7%
3-11305-00292 1
 
1.7%
Other values (48) 48
82.8%
2024-04-06T19:45:39.916056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 195
25.9%
3 150
19.9%
1 140
18.6%
- 116
15.4%
5 70
 
9.3%
2 38
 
5.0%
4 13
 
1.7%
8 10
 
1.3%
6 8
 
1.1%
7 7
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 638
84.6%
Dash Punctuation 116
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 195
30.6%
3 150
23.5%
1 140
21.9%
5 70
 
11.0%
2 38
 
6.0%
4 13
 
2.0%
8 10
 
1.6%
6 8
 
1.3%
7 7
 
1.1%
9 7
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 754
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 195
25.9%
3 150
19.9%
1 140
18.6%
- 116
15.4%
5 70
 
9.3%
2 38
 
5.0%
4 13
 
1.7%
8 10
 
1.3%
6 8
 
1.1%
7 7
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 754
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 195
25.9%
3 150
19.9%
1 140
18.6%
- 116
15.4%
5 70
 
9.3%
2 38
 
5.0%
4 13
 
1.7%
8 10
 
1.3%
6 8
 
1.1%
7 7
 
0.9%

기관명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-06T19:45:40.328240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length9.2586207
Min length5

Characters and Unicode

Total characters537
Distinct characters124
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row이원건강의료기
2nd row효노인복지센터
3rd row새힘노인복지센터
4th row백운재가요양센터
5th row대은가정봉사원파견센터
ValueCountFrequency (%)
이원건강의료기 1
 
1.5%
방문요양 1
 
1.5%
a강북복지용구.의료기 1
 
1.5%
강북광산데이케어센터 1
 
1.5%
한사랑재가복지센터 1
 
1.5%
솔샘재가복지센터 1
 
1.5%
예닮노인복지센터 1
 
1.5%
가족재가복지센터 1
 
1.5%
로뎀재가노인복지센터 1
 
1.5%
강북효심요양원2 1
 
1.5%
Other values (56) 56
84.8%
2024-04-06T19:45:41.009748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 50
 
9.3%
센 50
 
9.3%
지 38
 
7.1%
복 33
 
6.1%
가 29
 
5.4%
재 26
 
4.8%
요 17
 
3.2%
인 16
 
3.0%
노 16
 
3.0%
양 16
 
3.0%
Other values (114) 246
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
96.5%
Space Separator 8
 
1.5%
Uppercase Letter 3
 
0.6%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%
Decimal Number 2
 
0.4%
Other Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 50
 
9.7%
센 50
 
9.7%
지 38
 
7.3%
복 33
 
6.4%
가 29
 
5.6%
재 26
 
5.0%
요 17
 
3.3%
인 16
 
3.1%
노 16
 
3.1%
양 16
 
3.1%
Other values (106) 227
43.8%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
96.5%
Common 15
 
2.8%
Latin 4
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 50
 
9.7%
센 50
 
9.7%
지 38
 
7.3%
복 33
 
6.4%
가 29
 
5.6%
재 26
 
5.0%
요 17
 
3.3%
인 16
 
3.1%
노 16
 
3.1%
양 16
 
3.1%
Other values (106) 227
43.8%
Common
ValueCountFrequency (%)
8
53.3%
) 2
 
13.3%
( 2
 
13.3%
. 1
 
6.7%
1 1
 
6.7%
2 1
 
6.7%
Latin
ValueCountFrequency (%)
A 3
75.0%
e 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
96.5%
ASCII 19
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 50
 
9.7%
센 50
 
9.7%
지 38
 
7.3%
복 33
 
6.4%
가 29
 
5.6%
재 26
 
5.0%
요 17
 
3.3%
인 16
 
3.1%
노 16
 
3.1%
양 16
 
3.1%
Other values (106) 227
43.8%
ASCII
ValueCountFrequency (%)
8
42.1%
A 3
 
15.8%
) 2
 
10.5%
( 2
 
10.5%
. 1
 
5.3%
1 1
 
5.3%
2 1
 
5.3%
e 1
 
5.3%

기관전화번호
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-06T19:45:41.474870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.172414
Min length11

Characters and Unicode

Total characters648
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)96.6%

Sample

1st row02-992-2175
2nd row02-946-1313
3rd row02-980-5399
4th row02-993-9356
5th row02-985-5534
ValueCountFrequency (%)
02-987-8879 2
 
3.4%
02-992-2175 1
 
1.7%
02-6221-8187 1
 
1.7%
02-927-6292 1
 
1.7%
02-983-9888 1
 
1.7%
02-991-1457 1
 
1.7%
02-6348-2433 1
 
1.7%
02-983-5778 1
 
1.7%
02-900-9133 1
 
1.7%
02-998-2202 1
 
1.7%
Other values (47) 47
81.0%
2024-04-06T19:45:42.205523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 116
17.9%
0 103
15.9%
9 99
15.3%
2 92
14.2%
8 55
8.5%
7 39
 
6.0%
3 32
 
4.9%
1 30
 
4.6%
4 29
 
4.5%
6 28
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 532
82.1%
Dash Punctuation 116
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
19.4%
9 99
18.6%
2 92
17.3%
8 55
10.3%
7 39
 
7.3%
3 32
 
6.0%
1 30
 
5.6%
4 29
 
5.5%
6 28
 
5.3%
5 25
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 648
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 116
17.9%
0 103
15.9%
9 99
15.3%
2 92
14.2%
8 55
8.5%
7 39
 
6.0%
3 32
 
4.9%
1 30
 
4.6%
4 29
 
4.5%
6 28
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 648
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 116
17.9%
0 103
15.9%
9 99
15.3%
2 92
14.2%
8 55
8.5%
7 39
 
6.0%
3 32
 
4.9%
1 30
 
4.6%
4 29
 
4.5%
6 28
 
4.3%

FAX번호
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-06T19:45:42.748791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.310345
Min length11

Characters and Unicode

Total characters656
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)96.6%

Sample

1st row02-996-2877
2nd row02-986-0694
3rd row02-984-7637
4th row02-993-9353
5th row02-985-0141
ValueCountFrequency (%)
02-987-8870 2
 
3.4%
02-996-2877 1
 
1.7%
02-988-8187 1
 
1.7%
02-980-6293 1
 
1.7%
02-3423-0094 1
 
1.7%
02-991-1455 1
 
1.7%
02-6348-2438 1
 
1.7%
02-988-5779 1
 
1.7%
070-8234-3618 1
 
1.7%
02-998-2203 1
 
1.7%
Other values (47) 47
81.0%
2024-04-06T19:45:43.540231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 116
17.7%
0 115
17.5%
9 85
13.0%
2 79
12.0%
8 55
8.4%
7 39
 
5.9%
6 39
 
5.9%
4 37
 
5.6%
1 36
 
5.5%
3 30
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 540
82.3%
Dash Punctuation 116
 
17.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 115
21.3%
9 85
15.7%
2 79
14.6%
8 55
10.2%
7 39
 
7.2%
6 39
 
7.2%
4 37
 
6.9%
1 36
 
6.7%
3 30
 
5.6%
5 25
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 116
17.7%
0 115
17.5%
9 85
13.0%
2 79
12.0%
8 55
8.4%
7 39
 
5.9%
6 39
 
5.9%
4 37
 
5.6%
1 36
 
5.5%
3 30
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 116
17.7%
0 115
17.5%
9 85
13.0%
2 79
12.0%
8 55
8.4%
7 39
 
5.9%
6 39
 
5.9%
4 37
 
5.6%
1 36
 
5.5%
3 30
 
4.6%

설립구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
개인
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 58
100.0%

Length

2024-04-06T19:45:43.811578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:45:44.008223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 58
100.0%

지정일자
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20147437
Minimum20080714
Maximum20200102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-04-06T19:45:44.231441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080714
5-th percentile20080818
Q120110568
median20160506
Q320181080
95-th percentile20191043
Maximum20200102
Range119388
Interquartile range (IQR)70511.25

Descriptive statistics

Standard deviation40370.445
Coefficient of variation (CV)0.0020037509
Kurtosis-1.2864147
Mean20147437
Median Absolute Deviation (MAD)29662
Skewness-0.499027
Sum1.1685514 × 109
Variance1.6297729 × 109
MonotonicityIncreasing
2024-04-06T19:45:44.541075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180901 2
 
3.4%
20080714 1
 
1.7%
20181201 1
 
1.7%
20160630 1
 
1.7%
20161125 1
 
1.7%
20170925 1
 
1.7%
20171019 1
 
1.7%
20171023 1
 
1.7%
20180101 1
 
1.7%
20180312 1
 
1.7%
Other values (47) 47
81.0%
ValueCountFrequency (%)
20080714 1
1.7%
20080801 1
1.7%
20080811 1
1.7%
20080819 1
1.7%
20080922 1
1.7%
20081223 1
1.7%
20090430 1
1.7%
20090706 1
1.7%
20090819 1
1.7%
20090901 1
1.7%
ValueCountFrequency (%)
20200102 1
1.7%
20191206 1
1.7%
20191201 1
1.7%
20191015 1
1.7%
20190801 1
1.7%
20190708 1
1.7%
20190603 1
1.7%
20190515 1
1.7%
20190507 1
1.7%
20190218 1
1.7%

기관주소
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-04-06T19:45:45.062710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length31.017241
Min length22

Characters and Unicode

Total characters1799
Distinct characters90
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 삼각산로 59, 1층 (수유동)
2nd row서울특별시 강북구 오현로 194, 2층 (번동)
3rd row서울특별시 강북구 솔매로31길 4 (미아동,2층)
4th row서울특별시 강북구 삼양로 474, 302호 (수유동)
5th row서울특별시 강북구 인수봉로60가길 32, 101 (수유동, 대성아트빌)
ValueCountFrequency (%)
서울특별시 58
 
16.0%
강북구 58
 
16.0%
수유동 26
 
7.2%
미아동 16
 
4.4%
1층 13
 
3.6%
번동 12
 
3.3%
2층 10
 
2.8%
삼양로 5
 
1.4%
도봉로 5
 
1.4%
삼각산로 4
 
1.1%
Other values (125) 155
42.8%
2024-04-06T19:45:46.076952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
304
 
16.9%
1 76
 
4.2%
동 65
 
3.6%
, 63
 
3.5%
시 59
 
3.3%
구 59
 
3.3%
서 58
 
3.2%
로 58
 
3.2%
) 58
 
3.2%
울 58
 
3.2%
Other values (80) 941
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 998
55.5%
Decimal Number 308
 
17.1%
Space Separator 304
 
16.9%
Other Punctuation 63
 
3.5%
Close Punctuation 58
 
3.2%
Open Punctuation 58
 
3.2%
Dash Punctuation 7
 
0.4%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 65
 
6.5%
시 59
 
5.9%
구 59
 
5.9%
서 58
 
5.8%
로 58
 
5.8%
울 58
 
5.8%
북 58
 
5.8%
강 58
 
5.8%
별 58
 
5.8%
특 58
 
5.8%
Other values (64) 409
41.0%
Decimal Number
ValueCountFrequency (%)
1 76
24.7%
2 47
15.3%
3 39
12.7%
0 28
 
9.1%
7 26
 
8.4%
4 24
 
7.8%
5 19
 
6.2%
6 19
 
6.2%
9 17
 
5.5%
8 13
 
4.2%
Space Separator
ValueCountFrequency (%)
304
100.0%
Other Punctuation
ValueCountFrequency (%)
, 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 998
55.5%
Common 798
44.4%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 65
 
6.5%
시 59
 
5.9%
구 59
 
5.9%
서 58
 
5.8%
로 58
 
5.8%
울 58
 
5.8%
북 58
 
5.8%
강 58
 
5.8%
별 58
 
5.8%
특 58
 
5.8%
Other values (64) 409
41.0%
Common
ValueCountFrequency (%)
304
38.1%
1 76
 
9.5%
, 63
 
7.9%
) 58
 
7.3%
( 58
 
7.3%
2 47
 
5.9%
3 39
 
4.9%
0 28
 
3.5%
7 26
 
3.3%
4 24
 
3.0%
Other values (5) 75
 
9.4%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 998
55.5%
ASCII 801
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
304
38.0%
1 76
 
9.5%
, 63
 
7.9%
) 58
 
7.2%
( 58
 
7.2%
2 47
 
5.9%
3 39
 
4.9%
0 28
 
3.5%
7 26
 
3.2%
4 24
 
3.0%
Other values (6) 78
 
9.7%
Hangul
ValueCountFrequency (%)
동 65
 
6.5%
시 59
 
5.9%
구 59
 
5.9%
서 58
 
5.8%
로 58
 
5.8%
울 58
 
5.8%
북 58
 
5.8%
강 58
 
5.8%
별 58
 
5.8%
특 58
 
5.8%
Other values (64) 409
41.0%

Interactions

2024-04-06T19:45:37.393142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:45:36.990204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:45:37.646937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:45:37.213831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T19:45:46.310373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번장기요양기관기호기관명기관전화번호FAX번호지정일자기관주소
연번1.0001.0001.0000.9250.9250.9231.000
장기요양기관기호1.0001.0001.0001.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.000
기관전화번호0.9251.0001.0001.0001.0001.0001.000
FAX번호0.9251.0001.0001.0001.0001.0001.000
지정일자0.9231.0001.0001.0001.0001.0001.000
기관주소1.0001.0001.0001.0001.0001.0001.000
2024-04-06T19:45:46.706700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정일자
연번1.0001.000
지정일자1.0001.000

Missing values

2024-04-06T19:45:37.896565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T19:45:38.135301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번장기요양기관기호기관명기관전화번호FAX번호설립구분지정일자기관주소
013-11305-00014이원건강의료기02-992-217502-996-2877개인20080714서울특별시 강북구 삼각산로 59, 1층 (수유동)
123-11305-00022효노인복지센터02-946-131302-986-0694개인20080801서울특별시 강북구 오현로 194, 2층 (번동)
233-11305-00026새힘노인복지센터02-980-539902-984-7637개인20080811서울특별시 강북구 솔매로31길 4 (미아동,2층)
343-11305-00028백운재가요양센터02-993-935602-993-9353개인20080819서울특별시 강북구 삼양로 474, 302호 (수유동)
453-11305-00032대은가정봉사원파견센터02-985-553402-985-0141개인20080922서울특별시 강북구 인수봉로60가길 32, 101 (수유동, 대성아트빌)
563-11305-00043열린방문요양센터02-956-956002-956-9561개인20081223서울특별시 강북구 삼각산로 143-1, 상가B동 216호 (수유동, 수유벽산아파트)
673-11305-00054한마음재가방문요양센터02-6497-139902-903-4138개인20090430서울특별시 강북구 도봉로 88 (미아동)
783-11305-00063(A)비지팅엔젤스 강북지점02-994-500802-994-5009개인20090706서울특별시 강북구 덕릉로40길 14, 2층 (번동)
893-11305-00079하늘사랑복지센터02-987-820402-987-8205개인20090819서울특별시 강북구 솔샘로 291-1 (미아동, 1층)
9103-11305-00082서래노인요양센터02-939-007902-931-8592개인20090901서울특별시 강북구 오현로34길 12, 2층 (번동)
연번장기요양기관기호기관명기관전화번호FAX번호설립구분지정일자기관주소
48493-11305-00318서울노인복지센터02-987-796002-987-7961개인20190218서울특별시 강북구 삼양로20길 30, 1층 (미아동)
49503-11305-00321돌봄재가방문요양센터02-980-447102-980-4470개인20190507서울특별시 강북구 삼양로24길 55 (미아동)
50513-11305-00323수산나재가복지센터02-985-898802-986-8988개인20190515서울특별시 강북구 솔매로44길 37 (미아동)
51523-11305-00325다정다감재가복지센터02-992-296302-992-2964개인20190603서울특별시 강북구 오패산로67길 38 (번동)
52533-11305-00327우리 사랑채 복지센터02-989-295902-989-2960개인20190708서울특별시 강북구 도봉로49길 79, 101호 (미아동, 세영빌라)
53543-11305-00330북부성모재가방문요양센터02-992-662902-992-6619개인20190801서울특별시 강북구 한천로 1152 (수유동, 수유빌딩 3층)
54553-11305-00332번동제일재가복지센터02-989-912102-989-9120개인20191015서울특별시 강북구 오현로31길 121 (번동)
55563-11305-00335백세사랑 재가복지센터02-987-100702-985-1007개인20191201서울특별시 강북구 삼양로20길 47 (미아동)
56573-11305-00337한울방문요양센터02-981-700502-981-7006개인20191206서울특별시 강북구 한천로115길 20, 501동 105호 (번동, 번동주공영구임대아파트)
57583-11305-00346한결방문요양센터02-984-777302-984-7774개인20200102서울특별시 강북구 오패산로30길 30, 상가동 106호 (미아동, 경남아너스빌)